Real-Time Training on Snowflake Training

Complete Practical and Real-time Training on Snowflake. Snowflake Training course from SQL School will make you master the fundamentals of data warehousing capabilities as well as dealing with data and analytics. This Snowflake Video Training course teaches you all important concepts like snowflake objects, cloning, undrop, fail-safe and analytics solutions. At the end of this Snowflake Certification Training program, you will work on useful real-time projects.

Snowflake Training Plans

  Snowflake T-SQL, Snowflake T-SQL, Power BI,
No of Videos 15 Videos 27 Videos 45 Videos
Snowflake Data Warehouse
Snowflake Objects
Using SnowSQL CLI
Data Analytics Options Snowflake
Snowflake Data LifeCycle
Snowflake Databases
Snowflake Schemas
Snowflake Streams & Tasks
Staging Operations Snowflake
Snowflake Worksheets
Data Pipelines in Snowflake
SQL : Constraints, Joins, Queries
T-SQL : Queries, SProcs, Lock Hints
SQL: Views, Group By, Self Joins
Power B: Report Design, Visuals
Power BI: M Lang, DX for ETL
Power BI: Report Server, Admin
Total Course Fee *
* Payable in Installments
INR 9,000
USD 122
INR 13,000
USD 176
INR 21,000
USD 284

Trainer: Mr. Sai Phanindra T

All Session Are Completely Practical & Real Time

Snowflake Training Highlights :

✔ DWH & Snowflake Introduction
✔ Snowflake Architecture
✔ Snowflake Service Form
✔ Snowflake Objects
✔ Using SnowSQL CLI
✔ Snowflake Data
✔ Sequence in Snowflake
✔ Snowflake Stream & Tasks
✔ SnowSQL Operators
✔ SnowSQL Concepts
✔ Snowflake Data Loads & Validations
✔ Staging Operations with Snowflake
✔ Unloading Data from Snowflake
✔ Virtual Warehouse in Snowflake
✔ Replication and Business Continuity
✔ Security Management with Snowflake
✔ Snowflake with Azure Data Factory
✔ Managing Governance in Snowflake
✔✔ End to End Real-time Project @ Resume

Register Now for Snowflake Selfpaced Learning


Snowflake Training Course Contents:



  • Data, Databases and RDBMS Software
  • Database Types : OLTP, DWH, OLAP
  • Microsoft SQL Server Advantages, Use
  • Versions and Editions of SQL Server
  • SQL : Purpose, Real-time Usage Options
  • SQL Versus Microsoft T-SQL [MSSQL]
  • Microsoft SQL Server - Career Options
  • SQL Server Components and Usage
  • Database Engine Component and OLTP
  • BI Components, Data Science Components
  • ETL, Data Engineer and BI Components
  • Course Plan, Concepts, Resume, Project
  • 24 x 7 Online Lab for Remote DB Access
  • Software Installation Pre-Requisites

Ch 5: SQL Basics - 3, T-SQL INTRO

  • Database Objects : Tables and Schemas
  • Schemas : Group Tables in Database
  • Schemas : Security Management Object
  • Creating Schemas & Batch Concept
  • Using Schemas for Table Creation
  • Data Storage in Tables with Schemas
  • Data Retreival and Usage with Schemas
  • Table Migrations across Schemas
  • Import and Export Wizard in SSMS
  • Data Imports with Excel File Data
  • Performing Bulk Operations in SSMS
  • Temporary Tables : Real-time Use
  • Local and Global Temporary Tables
  • # and ## Prefix, Scope of Usage


  • GetDate, Year, Month, Day Functions
  • Date & Time Styles, Data Formatting
  • DateAdd and DateDiff Functions
  • Cast and, Convert Functions in Queries
  • String Functions: SubString, Relicate
  • Len, Upper, Lower, Left and Right
  • LTrim, RTrim, CharIndex Functions
  • MERGE Statement - Comparing Tables
  • Incremental Load with MERGE Statement
  • IIF() Function for Value Compares
  • CASE Statement : WHEN, ELSE, END
  • ROW_NUMBER() and RANK() Queries
  • Dense Rank and Partition By Queries


  • System Configuration Checker Tool
  • Versions and Editions of SQL Server
  • SQL Server and SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2016 / 2017 Installation
  • SQL Server 2019 Installation
  • Instance Name and Server Features
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Port Numbers, Instance Differences
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • FileStream and Collation Properties


  • Constraints and Keys - Data Integrity
  • NULL, NOT NULL Property on Tables
  • UNIQUE KEY Constraints: Importance
  • PRIMARY KEY Constraint: Importance
  • FOREIGN KEY Constraint: Importance
  • Candidate Keys and Identity Property
  • Database Diagrams and ER Models
  • Relationships Verification and Links
  • Indexes : Basic Types and Creation
  • Index Sorting and Search Advantages
  • Clustered and NonClustered Indexes
  • Primary Key and Unique Key Indexes
  • Need for Indexes - working with Keys

Ch 10: VIEW, SPs, Function Basics

  • Views : Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions : Types, Usage in Real-time
  • Scalar, Inline and Multi-Line Functions
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Variables & Parameters in SQL Server
  • Procedures : Types, Usage in Real-time
  • User & System Predefined Procedures
  • Parameters and Dynamic SQL Queries
  • Sp_help, Sp_helpdb and sp_helptext
  • sp_pkeys, sp_rename and sp_help
  • Important System Objects and Metadata

Ch 3: SSMS Tool, SQL BASICS - 1

  • SQL Server Management Studio
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • Creating Databases : Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Storage. Limitations
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • Creating Tables using SQL Scripts
  • Data Storage, Inserts - Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval

Ch 7: JOINS, T-SQL Queries : Level 1

  • JOINS - Table Comparisons Queries
  • INNER JOINS For Matching Data
  • OUTER JOINS For (non) Match Data
  • Left Outer Joins with Example Queries
  • Right Outer Joins with Example Queries
  • FULL Outer Joins - Realtime Scenarios
  • Join Queries with "ON" Conditions
  • Join Unrelated Tables in SQL Server
  • NULL, IS NULL Operators in Joins
  • One-way & Two Way Data Comparisons
  • Important Join Queries in T-SQL
  • Join Options: Merge, Loop, Hash

Ch 11: Triggers & Transactions

  • Triggers - Purpose, Real-world Usage
  • FOR/AFTER Triggers - Real time Use
  • INSTEAD OF Triggers - Real time Use
  • INSERTED, DELETED Memory Tables
  • Using Triggers for Data Replication
  • Enable Triggers and Disable Triggers
  • Database Level, Server Level Triggers
  • Transactions : Types, ACID Properties
  • Transaction Types and AutoCommit
  • EXPLICIT & IMPLICIT Transactions
  • COMMIT and ROLLBACK Statements
  • Open Transaction Scenarios & Cause
  • Query Blocking Scenarios @ Real-time
  • NOLOCK and READPAST Lock Hints

Ch 4: SQL BASICS - 2

  • Creating Databases & Tables in SSMS
  • Single Row Inserts, Multi Row Inserts
  • Rules for Data Insertion Statements
  • SELECT Statement @ Data Retrieval
  • SELECT with WHERE Conditions
  • Batch Concept and Go Statement
  • AND and OR Operators Usage
  • IN Operator and NOT IN Operator
  • Between, Not Between Operators
  • LIKE and NOT LIKE Operators
  • UPDATE Statement & Conditions
  • DELETE & TRUNCATE Statements
  • Logged and Non-Logged Operations
  • ADD, ALTER and DROP Columns
  • ALTER & DROP Table Statements

Ch 8: Group By, T-SQL Queries Level 2

  • GROUP BY Queries and Aggregations
  • Group By Queries with Having Clause
  • Group By Queries with Where Clause
  • Using WHERE and HAVING in T-SQL
  • Rollup : Usage and T-SQL Queries
  • Cube : Usage and T-SQL Queries
  • UNION and UNION ALL Operator
  • EXISTS Operator, Query Conditions
  • Sub Queries and Alternatives to Joins
  • Using Joins with Group By Queries
  • Using Joins with Nested Sub Queries
  • Sub Queries with Joins and Group By
  • Using UNION and UNION ALL in Queries
  • Nested Sub Queries with Group By, Joins
  • Comparing WHERE, HAVING Conditions


  • Normal Forms for Entity Relationships
  • First Normal Form and Atomocity
  • Second Normal Form, Candidate Keys
  • 3rd Normal Form Multi Value Dependancy
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form Realtime Advantages
  • Self Joins & Self Reference Keys
  • 1:1, 1:M, M:1, M:M Relationship Types
  • Joins with Group By Queries
  • Joins with Sub Queries, Formating
  • Office Data Connections, Excel Reports
  • Excel Pivot Reports and Reports
  • SQL Queries (Auto Generated) in BI Tools
  • Data Refresh (Manual and Automated)
Real-time Case Study - 1 (Sales & Retail)
Objective : Database Design, Table Design and Relations.
Involves Purchases, Products, Customers and Time Data with Various Data Types.
Real-time Case Study - 2 (Sales & Retail)
Objective : Queries, Excel Integration
Pivot Tables, Pivot Charts, ODC Connections

Chapter 1: Introduction to DWH & Snowflake Introduction

Database Types & Introduction to DWH; Cloud based DWH; Snowflake: Need, Advantages; History of Snowflake; DWaaS [DataWarehouse As A Service]; Why Snowflake? Snowflake Data Warehouse Concepts; Virtual Warehouses and Advantages; Snowflake Career Options: Certifications [Snowpro Core, Architect]

Chapter 2: Snowflake Architecture

Snowflake Architecture; Storage, Compute and Cloud Services Layers; Virtual Warehouses and Databases with File System; Cloud Platforms & Regions; Releases; Metadata Manager and Security Operations; Uses of Database Query Layer; Massively Parallel Processing [MPP] Architecture; Real-time Uses of Snowflake; Snowflake Editions: Standard, Standard +, Business Critical, Virtual Private Snowflake (VPS); Clustering, Performance and Security Compliance Comparisons; Virtual Warehouse: Multi Cluster Warehouse Concepts; Maximized and Auto Scale Options; SCALING_POLICY and Cluster Size; Credit Usage Policies;

Chapter 3: Snowflake Service Form

Setting Up Snowflake Account; Self Service Form; Snowflake Pricing; Compute & Storage; Evaluating and Using Free Credits; Working with Suspended Accounts; End User Access Options: Browser-based web interface, SnowSQL [CLI Client], JDBC / ODBC Client Applications and 3rd Party Tools [Partners]; Account Identifier; Logging in Using the Web Interface; SnowSQL: Snowflake Client Repository & Installation [Windows]. MSI File; Validing Installation & Register;

Chapter 4: Snowflake Objects

Snowflake Objects: Virtual Warehouses, Databases; Sizing and Metadata Properties; Table Creation Options; Fields, Types and Column Usage Options; Page Navigations: Database Page, Warehouse Page, Worksheet Page; Performing Basic DDL and DML Operations; Data Load Operations: Limitations;

Chapter 5: Using SnowSQL CLI

Using SnowSQL CLI; Creating Virtual Warehouse; Creating Databases and Tables; Data Storage and Querying Operations; Basic Performance Optimization Options, CSV File Loads; Data Load Limitations; Querying Tables and Reading Resultsets; Data Analytics Options with Snowflake; Cleanup Operations;

Chapter 6: Snowflake Data

Snowflake Data LifeCycle: Organizing Data, Storing Data, Quering Data, Working with Data [DML & MERGE] and Removing Data [TRUCATE and DROP]; Snowflake Databases: CREATE, CLONE ALTER and DROP database operations; UNDROP, USE and SHOW database operations; Snowflake Schemas: CREATE SCHEMA, SHOW SCHEMA operations. Transient Property, Clone, Collation and Retention Time Operations with Schemas;

Chapter 7: Sequence in Snowflake

Snowflake Objects: Working with Tables [Standard and External Tables]; Views [Standard Views & Materialized Views]; Working with Sequences in Snowflake; DML Operations with Snowflake: Insert [Single and Multi Table]; Merge, Update, Delete and Truncate Operations with Snowflake Tables;

Chapter 8: Snowflake Stream & Tasks

Snowflake Streams & Tasks: CREATE, ALTER, SHOW AND DROP; CLONE Operations with Streams and Jobs; Using Streams for Data Loads in Snowflake; Snowflake Shares: Creating and Using Shares; Describe Shares, Show Shares and Drop Operations; Real-time Use of Snowflake Shares;

Chapter 9: SnowSQL Operators

SnowSQL Operators: Arthimetic, Comparison, Logical / Boolean, Set Operators; Sub Query Operators; WHERE, JOIN, WITH, TOP, PIVOT, VALUE Constructs; GROUP BY with ROLLUP, CUBE, HAVING, QUALIFY AND ORDER BY Constructs with Snowflake; LIMIT & FETCH, MATCHING_RECOGNIZE & TABLESAMPLE

Chapter 10: SnowSQL Concepts

SnowSQL Concepts: Scalar, Aggregate, Window, Table & System Functions; Real-time Use of Functions in Snowflake; Loading Data into Snowflake: Data Load Considerations; Data Preperation and Loading Options: Bulk Loads, Web Interface Data Loads & SnowPipe; Staging;

Chapter 11: Snowflake Data Loads & Validations

Bulk Data Loads from Local Systesm; Using COPY command with SnowSQL CLI; File Formats and Staging; Staged Files, Target Data Loads; Data Cleanup Options; Data Load Errors and Solutions; Data Validation Issues and Using VALIDATE function with Namespace, Table & Job ID; Error Loads; Error Row Redirect Options;

Chapter 12: Staging Operations with Snowflake

Staging Operations with Snowflake; Querying Staged Data; Data Transfer Monitoring and Querying Metadata; Query Syntax and Parameters; Supported Functions; Users Stages, Table Stages and Named Stages; Creating and Using Named Stage; Listing and Using Staged Data Files; File Formats and Query Examples; Working with Aliases; Loading and Unloading Data with Snowflake; Working with JSON Data an Parquet Data with Snowflake;

Chapter 13: Unloading Data from Snowflake

Unloading Data from Snowflake; Key Concepts and Best Practices; Data Preparation for Unloads; Unloading to Snowflake Stage; Unloading to Microsoft Azure; Using Snowflake Worksheets; user Preferences; Using Worksheets for Queries, DDL & DML; Using History Page for Query Monitoring; Snowsight Usage & Monitoring

Chapter 14: Virtual Warehouse in Snowflake

Virtual Warehouse in Snowflake; Warehouse Creation & Usage; Multi-Cluster Warehouses; Warehouse Considerations, Warehouse Working and Monitoring; Continuous Data Pipelines; Data Pipelines Creation and Usage; Change Tracking using Table Streams; Tasks and Schedules; Monitoring and Using Data Pipelines;

Chapter 15: Replication and Business Continuity

Replication and Business Continuity; Disaster Recovery Scenarios; Database Replication and Failover / Failback Options; Client Redirect; Region Outage, Fail-safe; Data Restore and Time Travel Options; SQL Extentions; Enabling / Disabling Time Travel; Data Retention; History and Clone Options; Drop and Restore Operations;

Chapter 16: Security Management with Snowflake

Security Management with Snowflake; ACCOUNTADMIN, SYSADMIN & SECURITYADMIN; Authentication, Securing Objects and Authorization; Object Access Control; Sharing Data Securely in Snowflake; Granting Privileges to Other Roles; Data Sharing Usage and Working with Shared Data @ Web Interface; Security Options;

Chapter 17: Snowflake with Azure Data Factory

Snowflake with Azure Data Factory: Creating ADF Linked Services for Snowflake; Using Copy Data Tool [CDT] in ADF Studio; Data Imports & Pipelines; DIUs; Snowflake with Python: Application Development Interface for Python; JDBC and ODBC Connection Options; Supported Python Versions; Pandas DataFrames;

Chapter 18: Managing Governance in Snowflake

Managing Governance in Snowflake: Governance Features, Column Level Security, Row Access Policies, Access History and Object Tagging; Continuous Data Protection; Managing Account in Snowflake: Account Identifiers; System Usage and Billing; Parameter Management, User Management, Change Release Management;

Part 1: Power BI Report Design

Part 2: ETL, Data Modeling, DAX

Part 3: Power BI Cloud, Admin


  • Power BI Job Roles in Real-time
  • Power BI Data Analyst Job Roles
  • Business Analyst - Job Roles
  • Power BI Developer - Job Roles
  • Power BI for Data Scientists
  • Comparing MSBI and Power BI
  • Comparing Tableau and Power BI
  • MCSA 70-778, MCSA 70-779 Exam
  • Types of Reports in Real-World
  • Interactive & Paginated Reports
  • Analytical & Mobile Reports
  • Data Sources Types in Power BI
  • Power BI Licensing Plans - Types
  • Power BI Training : Lab Plan
  • Power BI Dev & Prod Environments


  • Power Query M Language Purpose
  • Power Query Architecture and ETL
  • Data Types, Literals and Values
  • Power Query Transformation Types
  • Table & Column Transformations
  • Text & Number Transformations
  • Date, Time and Structured Data
  • List, Record and Table Structures
  • let, source, in statements @ M Lang
  • Power Query Functions, Parameters
  • Invoke Functions, Execution Results
  • Get Data, Table Creations and Edit
  • Merge and Append Transformations
  • Join Kinds, Advanced Editor, Apply
  • ETL Operations with Power Query

Ch 13 : POWER BI CLOUD - 1

  • Power BI Service Architecture
  • Power BI Cloud Components, Use
  • App Workspaces, Report Publish
  • Reports & Related Datasets Cloud
  • Creating New Reports in Cloud
  • Report Publish and Report Uploads
  • Dashboards Creation and Usage
  • Adding Tiles to Dashboards
  • Pining Visuals and Report Pages
  • Visual Pin Actions in Dashboards
  • LIVE Page Interaction in Dashboard
  • Adding Media: Images, Custom Links
  • Adding Chs and Embed Links
  • API Data Sources, Streaming Data
  • Streaming Dataset Tiles (REST API)


  • Power BI Desktop Installation
  • Data Sources & Visual Types
  • Canvas, Visualizations and Fields
  • Get Data and Memory Tables
  • In-Memory xvelocity Database
  • Table and Tree Map Visuals
  • Format Button and Data Labels
  • Legend, Category and Grid
  • PBIX and PBIT File Formats
  • Visual Interaction, Data Points
  • Disabling Visual Interactions
  • Edit Interactions - Format Options
  • CSV and PDF Exports. Tooltips
  • Power BI EcoSystem, Architecture


  • Query Duplicate, Query Reference
  • Group By and Advanced Options
  • Aggregations with Power Query
  • Transpose, Header Row Promotion
  • Reverse Rows and Row Count
  • Data Type Changes & Detection
  • Replace Columns: Text, NonText
  • Replace Nulls: Fill Up, Fill Down
  • PIVOT, UNPIVOT Transformations
  • Move Column and Split Column
  • Extract, Format and Numbers
  • Date & Time Transformations
  • Deriving Year, Quarter, Month, Day
  • Add Column : Query Expressions
  • Query Step Inserts and Step Edits

Ch 14 : POWER BI CLOUD - 2

  • Dashboards Actions,Report Actions
  • DataSet Actions: Create Report
  • Share, Metrics and Exports
  • Mobile View & Dashboard Themes
  • Q & A [Cortana] and Pin Visuals
  • Export, Subscribe, Subscribe
  • Favorite, Insights, Embed Code
  • Featured Dashboards and Refresh
  • Gateways Configuration, PBI Service
  • Gateway Types, Cloud Connections
  • Gateway Clusters, Add Data Sources
  • Data Refresh : Manual, Automatic
  • PBIEngw Service, ODG Logs, Audits
  • DataFlows, Power Query Expressions
  • Adding Entities and JSON Files

Ch 3 : Visual Sync, Grouping

  • Slicer Visual : Real-time Usage
  • Orientation, Selection Properties
  • Single & Multi Select, CTRL Options
  • Slicer : Number, Text and Date Data
  • Slicer List and Slicer Dropdowns
  • Visual Sync Limitations with Slicer
  • Disabling Slicers,Clear Selections
  • Grouping : Real-time Use, Examples
  • List Grouping and Binning Options
  • Grouping Static / Fixed Data Values
  • Grouping Dynamic / Changing Data
  • Bin Size and Bin Limits (Max, Min)
  • Bin Count and Grouping Options
  • Grouping Binned Data, Classification


  • Creating Parameters in Power Query
  • Parameter Data Types, Default Lists
  • Static/Dynamic Lists For Parameters
  • Removing Columns and Duplicates
  • Convert Tables to List Queries
  • Linking Parameters to Queries
  • Testing Parameters and PBI Canvas
  • Multi-Valued Parameter Lists
  • Creating Lists in Power Query
  • Converting Lists to Table Data
  • Advanced Edits and Parameters
  • Data Type Conversions, Expressions
  • Columns From Examples, Indexes
  • Conditional Columns, Expressions

Ch 15 : EXCEL & RLS

  • Import and Upload Options in Excel
  • Excel Workbooks and Dashboards
  • Datasets in Excel and Dashboards
  • Using Excel Analyzer in Power BI
  • Using Excel Publisher in PBI Cloud
  • Excel Workbooks, PINS in Power BI
  • Excel ODC Connections, Power Pivot
  • Row Level Security (RLS) with DAX
  • Need for RLS in Power BI Cloud
  • Data Modeling in Power BI Desktop
  • DAX Roles Creation and Testing
  • Adding Power BI Users to Roles
  • Custom Visualizations in Cloud
  • Histogram,Gantt Chart,Infographics

Ch 4 : Hierarchies, Filters

  • Creating Hierarchies in Power BI
  • Independent Drill-Down Options
  • Dependant Drill-Down Options
  • Conditional Drilldowns, Data Points
  • Drill Up Buttons and Operations
  • Expand & Show Next Level Options
  • Dynamic Data Drills Limitations
  • Show Data and See Records
  • Filters : Types and Usage in Real-time
  • Visual Filter, Page Filter, Report Filter
  • Basic, Advanced and TOP N Filters
  • Category and Summary Level Filters
  • DrillThru Filters, Drill Thru Reports
  • Keep All Filters" Options in DrillThru
  • CrossReport Filters, Include, Exclude

Ch 10 : DAX Functions - Level 1

  • DAX : Importance in Real-time
  • Real-world usage of Excel, DAX
  • DAX Architecture, Entity Sets
  • DAX Data Types, Syntax Rules
  • DAX Measures and Calculations
  • ROW Context and Filter Context
  • DAX Operators, Special Characters
  • DAX Functions, Types in Real-time
  • Vertipaq Engine, DAX Cheat Sheet
  • Creating, Using Measures with DAX
  • Creating, Using Columns with DAX
  • Quick Measures and Summaries
  • Validation Errors, Runtime Errors
  • Dynamic Expressions, IF in DAX

Ch 16 : Report Server, RDL

  • Need for Report Server in PROD
  • Install, Configure Report Server
  • Report Server DB, Temp Database
  • Webservice URL, Webportal URL
  • Creating Hybrid Cloud with Power BI
  • Using Power BI DesktopRS
  • Uploading Interactive Reports
  • Report Builder For Report Server
  • Report Builder For Power BI Cloud
  • Designing Paginated Reports (RDL)
  • Deploy to Power BI Report Server
  • Data Source Connections, Report
  • Power BI Report Server to Cloud
  • Tenant IDs Generation and Use
  • Mobile Report Publisher, Usage

Ch 5 : Bookmarks, Azure, Modeling

  • Drill-thru Filters, Page Navigations
  • Bookmarks : Real-time Usage
  • Bookmarks for Visual Filters
  • Bookmarks for Page Navigations
  • Selection Pane with Bookmarks
  • Buttons, Images with Actions
  • Buttons, Actions and Text URLs
  • Bookmarks View & Selection Pane
  • OLTP Databases, Big Data Sources
  • Azure Database Access, Reports
  • Import & Direct Query with Power BI
  • SQL Queries and Enter Data
  • Data Modeling : Currency, Relations
  • Summary, Format, Synonyms
  • Web View & Mobile View in PBI

Ch 11 : DAX Functions - Level 2

  • Data Modeling Options in DAX
  • Detecting Relations for DAX
  • Using Calculated Columns in DAX
  • Using Aggregated Measures in DAX
  • Working with Facts & Measures
  • Modeling : Missing Relations
  • Modeling : Relation Management
  • CALCULATE Function Conditions
  • CALCULATE & ALL Member Scope
  • Entity Sets and Slicing in DAX
  • Dynamic Expressions, RETURN
  • Date, Time and Text Functions
  • Logical, Mathematical Functions
  • Running Total & EARLIER Function

Ch 17: MSBI Integrations

  • Power BI with SQL Server Source
  • Power BI with SQL Data Warehouse
  • Power BI with SSAS OLAP Server
  • Power BI with Azure SQL DB Source
  • Power BI with Azure SQL Warehouse
  • Power BI with Azure Analysis Server
  • Power BI with SSRS (RDL) Reports
  • Power BI Report Builder Tool
  • Installation & Configuration
  • Paginated Reports Design, Use
  • Data Sources, Datasets, RDL
  • Report Publish (RDL) to Cloud
  • Report Verifications, Data Sync
  • Interactive Vs Paginated Reports
  • Creating, Managing Alerts in Cloud

Ch 6 : Visualization Properties

  • Stacked Charts and Clustered Charts
  • Line Charts, Area Charts, Bar Charts
  • 100% Stacked Bar & Column Charts
  • Map Visuals: Tree, Filled, Bubble
  • Cards, Funnel, Table, Matrix
  • Scatter Chart : Play Axis, Labels
  • Series Clusters & Selections
  • Waterfall Chart and ArcGIS Maps
  • Infographics, Icons and Labels
  • Color Saturation, Sentiment Colors
  • Column Series, Column Axis in Lines
  • Join Types : Round, Bevel, Miter
  • Shapes, Markers, Axis, Plot Area
  • Display Units,Data Colors,Shapes
  • Series, Custom Series and Legends

Ch 12 : DAX FUNCTIONS Level 3

  • 1:1, 1:M and M:1 Relations
  • Connection with CSV, MS Access
  • DIVIDE, CALCULATE, Conditions
  • IF..ELSE..THEN Statement
  • SUM, DATEDIFF Examples in DAX
  • Time Intelligence Functions - DAX

  • Project Requirement Analysis
  • Implementing SDLC Phases
  • Requirement Gathering, FSA
Phase 1:
  • PBIX Report Design
  • Visualizations, Properties
  • Analytics and Formating
Phase 2:
  • Data Modeling, Power Query
  • Dynamic Connections, Azure DB
  • Parameters and M Lang Scripts
Phase 3:
  • DAX Requriements, Analysis
  • Cloud and Report Server
  • Project FAQs and Solutions

SQL Server T-SQL, Azure SQL, Azure DBA, Azure BI, Azure Data Engineer, Power BI Training